Maria Billstam (), Kristina Frändén, Johan Samuelsson () and Pär Österholm ()
Additional contact information
Maria Billstam: National Institute of Economic Research, Postal: National Institute of Economic Research, P.O. Box 3116, SE-103 62 Stockholm, Sweden
Kristina Frändén: National Institute of Economic Research, Postal: National Institute of Economic Research, P.O. Box 3116, SE-103 62 Stockholm, Sweden
Johan Samuelsson: National Institute of Economic Research, Postal: National Institute of Economic Research, P.O. Box 3116, SE-103 62 Stockholm, Sweden
Pär Österholm: National Institute of Economic Research, Postal: National Institute of Economic Research, P.O. Box 3116, SE-103 62 Stockholm, Sweden
Abstract: Survey data from businesses and households are widely used for fore-casting and economic analysis. In Sweden, the most important survey of this kind is the Economic Tendency Survey of the National Institute of Economic Research. A shortcoming with this survey is that real-time data of it largely are unavailable. In this paper, we describe how two quasi-real-time data sets of this survey have been constructed and made publicly available – one monthly and one quarterly. The data sets consist of monthly/quarterly vintages of the most important series of the survey, including the main confidence indicators. A natural usage of these data sets is evaluations of model-based forecasts and nowcasts. We illustrate this with an application to Swedish GDP growth. This shows that all models based on indicators from the Economic Tendency Survey, except the one relying on the confidence indicator for the construction industry, have higher forecast precision than the benchmark models.
Keywords: Data revisions; Nowcasting
30 pages, April 26, 2016
Full text files
Working-paper-143-Qu...-Tendency-Survey.pdf
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